\begin{tabular}{l}
\text{\LARGE{Pascal distribution}}\\
\\\hline\\
\text{Pascal distribution (also called negative binomial distribution) describes}\\
\text{the number of failures before the }l\text{-th success occurs in the sequence of}\\
\text{independent Bernoulli trials with given success probability.}
\\\\\hline\\
\text{\Large{Input parameters}}\\
    \begin{array}{ll}\\
    \\p & \text{probability of success in a single trial}\\
    \\l & \text{number of successful trials}\\
    \end{array}
\\\\\hline\\
\text{\Large{Output parameters}}\\
    \begin{array}{ll}\\
    \\\text{Expected value} & \mathbf{\frac{l\left(1-p\right)}{p}}\\
    \\\text{Standard deviation} & \mathbf{\sqrt{\frac{l\left(1-p\right)}{p^2}}}\\
    \\\text{Variance} & \mathbf{\frac{l\left(1-p\right)}{p^2}}\\
    \end{array}
\\\\\hline\\
\text{\Large{Additional information}}\\
    \begin{array}{ll}\\
    \\\text{Number of failures} & \mathbf{k}\\
    \\\text{Probability mass function} & \mathbf{\left(
        \begin{array}{c}
            k+l-1 \\
            k
        \end{array}
    \right){p^l}\left(1-p\right)^k}\\
    \end{array}
\end{tabular}